Discounted Temporal-difference Learning

Discounted Temporal-Difference Learning is a temporal-difference learning method that updates value estimates based on the discounted difference between subsequent predictions, incorporating a discount factor to weigh future rewards exponentially less than immediate ones.

54

Publications

5.9K

Citations

127

Authors

71

Institutions

Publications per year

2017–2026

15

Authors

127

  1. HY
    Huizhen Yu

    Massachusetts Institute of Technology, United States

    7 publications · 153 citations

    7

    h-index

  2. BV
    Benjamin Van Roy

    Stanford University, United States

    3 publications · 1.4K citations

    3

    h-index

  3. JN
    John N. Tsitsiklis

    Massachusetts Institute of Technology, United States

    3 publications · 1.4K citations

    3

    h-index

  4. RA
    Ron Amit

    Technion – Israel Institute of Technology, Israel

    2 publications · 32 citations

    2

    h-index

  5. KC
    Kamil Ciosek

    University of Oxford, United Kingdom

    2 publications · 32 citations

    2

    h-index

1–5 of 127

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 171 citations

    8

    h-index

  2. Machine Learning

    3 publications · 874 citations

    3

    h-index

  3. NeuroImage

    2 publications · 501 citations

    2

    h-index

  4. Journal of Machine Learning Research

    JMLR · 2 publications · 46 citations

    2

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 14 citations

    1

    h-index

1–5